E-Journal Politeknik Negeri Cilacap
Not a member yet
919 research outputs found
Sort by
Budidaya Tanaman Stevia Pemanis Alami Rendah Kalori Bersama Kader Kesehatan Desa Teguhan
Get PDFThe recent phenomenon is that on every inch of empty sidewalk, in front of shops, in front of schools, and on the side of the road there must be sellers of sweet drinks, especially jumbo tea. Excessive sweet drinks can increase the risk of diseases caused by excess sugar such as diabetes and obesity. The purpose of this community service activity (PkM) is to increase the knowledge of Teguhan Village health cadres regarding the dangers of obesity, diabetes, and the benefits of stevia. The community service methods used include counseling about the dangers of diabetes, obesity, stevia plant cultivation, and joint practice in planting and processing stevia plants until ready for consumption. This PKM activity resulted in an increase in knowledge among cadres by 63%. The percentage of knowledge before being given counseling regarding obesity, diabetes, and stevia was only an average of 28% and after the PKM activity ended, the average knowledge of cadres increased to 91%. These results are expected to reduce the use of cane sugar switch to stevia sugar and spread their knowledge to the surrounding community so that more people know about the benefits of stevia plants
A Novel Principles+ Framework for Improving User Experience of Augmented Reality
Get PDFThis study introduces a framework that aligns analysis and synthesis approaches, PRInCiPleS+, to enhance the user experience (UX) for Mooi Indie paintings through Augmented Reality (AR). By integrating cultural depth, emotional engagement, and technical usability, this study aims to revive this traditional art form and engage younger audiences. The customized PRInCiPleS+ design method combines empathy mapping and sustainability considerations to develop an AR application for Instagram filters. This study highlights the role of AR in preserving traditional arts while aligning it with the Sustainable Development Goals. The results of the Mooi Indie AR test using the independent sample T Test method showed no significant difference between users who had never used AR and those who had used AR in terms of user experience. In other words, users who are using AR for the first time and those who have used AR before feel almost the same user experience. The user experience score measured using the UMUX-Lite questionnaire showed that the group of users who had never used AR had a user experience score of 78.15, while the group who had ever used AR was 71.10, which means good. Analytically, Mooi Indie AR still needs some improvement, especially in terms of filter loading time, time required to explore filters, the number of users who use filters, and then save and share them with other users to increase engagement
Analisis Perkiraan Sisa Umur Transformator Daya IBT II 500 MVA Berdasarkan Kondisi Beban dan Suhu pada Gardu Induk Tegangan Ekstra Tinggi 500 kV Tasikmalaya
Get PDFTransformator daya adalah alat pada sistem penyaluran energi listrik yang berfungsi untuk rekayasa nilai tegangan dengan mekanisme step up atau step down, dengan mempunyai peranan yang vital tersebut maka transformator harus dirawat agar mempunyai kinerja yang baik, Umur dasar transformator daya menurut IEC 60076-7 adalah 20,55 tahun dalam kondisi pembebanan 80% sebagai batas maksimal pembebanan transformator, oleh karena itu perlu memahami korelasi nilai efisiensi transformator daya dan sisa umur transformator daya dengan penelitian berupa analisis perhitungan manual susut umur transformator serta pengunaan analisis regresi linear berganda untuk menentukan variabel paling berpengaruh. Hasil penelitian menyatakan bahwa rata rata ada selisih 2 tahun, setiap terjadi kenaikan pembebanan per 0,1% setiap tahunnya serta variabel suhu minyak transformator merupakan variabel yang paling berpengaruh dalam proses penyusutan umur transformator
Automated Esophagitis Detection from Endoscopy Using Deep Learning
Get PDFGastro-esophageal reflux disease (GERD) is a widespread condition that often leads to severe complications, including esophagitis, which significantly affects patient health and quality of life. While endoscopy is the gold standard for diagnosing esophagitis, its reliance on specialized equipment and trained professionals can limit accessibility and efficiency. This study introduces an innovative approach to diagnosing esophagitis by leveraging Convolutional Neural Networks (CNN) for automated classification of endoscopic images. By utilizing the Kvasir dataset, which includes a comprehensive collection of gastrointestinal endoscopy images, the model is trained to distinguish between esophagitis and normal-Z-line conditions with remarkable accuracy. The CNN model achieved outstanding results, with an accuracy of 96.04%, precision of 98.94%, recall of 93.00%, and an F1-score of 95.88%, demonstrating its potential to outperform traditional diagnostic methods. These findings underscore the ability of CNN to not only enhance diagnostic precision but also to reduce human error, making the process faster, more reliable, and more accessible. This research contributes to the growing body of work in medical image analysis, suggesting that CNN-based models can transform clinical practices by supporting timely, accurate diagnoses while alleviating the burden on medical professionals. The integration of deep learning in this domain holds the promise of advancing healthcare accessibility and efficiency globall
Modified Grey Wolf Optimizer with Lévy Flight for Waste Collection Routing: A Case Study in Bandung
Get PDFEfficient urban waste management is a critical challenge driven by rapid urbanization, with collection routes strongly influencing operational costs and environmental sustainability. This study addresses the optimization of waste collection routes by modeling the problem as a Travelling Salesman Problem (TSP), serving as a foundational step toward more complex routing frameworks. We propose a Lévy-flight-enhanced Grey Wolf Optimizer (LGWO), which extends the standard Grey Wolf Optimizer (GWO) by integrating a lévy flight mechanism designed to strengthen global exploration and mitigate premature convergence to local optima. The performance of LGWO is evaluated against six other metaheuristic algorithms (GWO, ACOR, WOA, PSO, ALO, and ABC) using a real-world dataset of 36 waste collection points in Bandung, Indonesia. Experimental results based on 30 independent trials per algorithm show that LGWO achieves the best overall performance, obtaining the shortest tour (60.85 km) and the lowest mean distance (77.72 km), whereas the Ant Lion Optimizer (ALO) yields the poorest performance with the highest average distance of 89.90 km. These findings indicate that incorporating a lévy flight mechanism into GWO improves solution quality and convergence behavior for TSP-based waste collection routing. This research offers a practical optimization tool for developing more efficient and cost-effective urban waste management strategies. Future work will extend this approach by incorporating dynamic factors such as service times and vehicle capacities, enabling a more realistic treatment of Vehicle Routing Problem (VRP) variants.
Improving Computational Efficiency and Accuracy of Damerau-Levenshtein Distance for Indonesian Spelling Correction using Cosine Similarity
Get PDFSpelling correction is an automatic correction feature useful in detecting spelling errors and providing word suggestions if necessary. Spelling correction is one of the crucial preprocessing phases in text mining. The Damerau-Levenshtein Distance method is one of the spelling correction methods that has high accuracy. This method has four types of operations: insertion, deletion, substitution, and transposition. The basic approach in detecting spelling errors in the Indonesian language is to use a dictionary search. Despite its accuracy, the Damerau-Levenshtein Distance method has a slow computation time. Furthermore, when the dictionary contains several suggested words that have the same distance from the target word, it will be difficult to prioritize the most appropriate suggestions. To overcome this problem, we introduce a caching mechanism to store previously calculated corrections, thereby speeding up the computation process. In addition, we use the cosine similarity method to rank words in Damerau-Levenshtein Distance results. The results of our approach have a significant improvement in accuracy, increasing from 72.13% to 83.60% by integrating caching and cosine similarity for ranking, which shows a significant improvement in both efficiency and effectivenes
5G NR Coverage Optimization Using Legacy 4G Infrastructure: A Machine Learning-Enhanced Empirical Study in Indonesian Urban Environment
Get PDFThe deployment of 5G New Radio (NR) networks requires substantial infrastructure investment, posing challenges for emerging markets. This empirical study explores coverage optimization by retrofitting existing 4G LTE Base Transceiver Stations (BTS) using machine learning-enhanced Self-Organizing Network (SON) algorithms. Over six months, 6,895 drive test measurements were collected across 28 Telkomsel BTS sites in Padang, Indonesia, enabling before-and-after optimization analysis. Paired t-test results showed significant improvements in coverage quality: the service area with excellent SINR increased from 54.5% to 58.1% (p < 0.001, Cohen’s d = 0.27), while maintaining 99.3% RSRP compliance (≥ -92 dBm, 95% CI: 97.8%–100%). Automatic Cell Planning (ACP) effectively identified parameter configurations that enhanced performance without additional infrastructure cost, reducing deployment expenses. However, 5G NSA deployment remained limited to only 2.17% of measurements, which is valid for early-stage insights but restricts generalization to full 5G deployment scenarios. Therefore, the findings primarily apply to NSA overlay on existing 4G infrastructure rather than full 5G standalone deployment. This underscores ongoing economic and technical challenges in emerging markets’ 5G rollout. Despite this, the study provides strong empirical evidence supporting infrastructure reuse via SON-based optimization as a cost-effective way to improve coverage and quality. These results offer valuable guidance for operators and policymakers aiming to accelerate 5G adoption while managing costs in similar regions. Future work should expand validation as 5G NSA and standalone (SA) deployments grow and investigate integration with advanced AI-driven network management technique
Analisis Pengaruh Pelapisan Minyak Silikon Terhadap Tegangan Flashover pada Isolator Porselen Kondisi Terkontaminasi Garam
Get PDFIsolator adalah komponen penting dalam sistem distribusi energi listrik yang berfungsi sebagai pemisah antara konduktor dengan tiang penyangga. Namun, kinerjanya dapat menurun akibat terkontaminasi polutan, salah satunya polutan garam. Penelitian ini bertujuan untuk mengetahui pengaruh pelapisan minyak silikon terhadap nilai tegangan flashover pada isolator porselen dalam kondisi bersih dan terkontaminasi garam, baik dalam keadaan kering maupun basah. Pengujian dilakukan menggunakan metode slow rate of rise test pada isolator porselen dengan variasi kondisi (bersih dan terkontaminasi garam 5%, 15%, 20%), keadaan (kering dan basah), serta pelapisan minyak silikon dengan variasi viskositas (100cps, 350cps, 1000cps, 2500cps). Hasil menunjukkan bahwa pada kondisi tanpa pelapis, tegangan flashover menurun signifikan seiring meningkatnya konsentrasi garam, khususnya pada kondisi basah. Pelapisan minyak silikon terbukti efektif meningkatkan tegangan flashover, terutama pada isolator yang terkontaminasi. Semakin tinggi viskositas minyak silikon, semakin besar peningkatan yang diperoleh, itu karena sifat hidrofobik minyak silikon mampu mencegah penyebaran air berpolutan dan pembentukan jalur konduktif di permukaan isolator. Dengan demikian, pelapisan minyak silikon, khususnya dengan viskositas tinggi, dapat menjadi solusi protektif untuk menjaga keandalan isolator di lingkungan lembap dan tercemar
Pengaruh Penambahan Methanol Terhadap Performa Mesin Injeksi 150 CC Berbahan Bakar Pertamax
Get PDFThe use of fossil fuels causes air pollution in Indonesia. Biofuel is one of the alternatives often used, one of which is methanol. Methanol has efficient characteristics and low emissions, increases engine performance and thermal efficiency, and reduces fuel consumption. This study aims to observe the concentration of pertamax - methanol addition of 5%, 10%, and 15% on performance, BSFC, and BTE. The percentage of pertamax and methanol fuel mixing is 5%, 10%, and 15%, and the speed used is 1000, 2000, and 3000 rpm. The measurements taken are power, BSFC, and BTE using a dynotest and displayed on a screen. Adding 5%, 10%, and 15% methanol to pertamax increases engine performance. The addition of Pertamax-methanol PM15 increases power by 25% at a speed of 1000 rpm, reduces BSFC by 40% on PM15 at a speed of 2000 rpm, and increases thermal efficiency on PM5 by 73% at a speed of 2000 rpmPenggunaan bahan bakar jenis fosil menyebankan polusi udara di Indonesia. Biofuel menjadi salah satu alternatif yang sering digunakan salah satunya methanol. Methanol mempunyai karakteristik efisien dan emisi rendah serta meningkatkan performa mesin dan efisiensi thermal serta mengurangi konsumsi bahan bakar. Penelitian ini bertujuan untuk mengamati konsentrasi penambahan pertamax – methanol 5%, 10% dan 15% terhadap performa, BSFC dan BTE. Persentase pencampuran bahan bakar pertamax dan methanol 5%,10% dan 15% dan kecepatan yang digunakan yaitu 1000, 2000 dan 3000 rpm. Pengukuran yang dilakukan yaitu daya, BSFC dan BTE menggunakan dynotest serta ditampilkan menggunakan layar. Penambahan methanol 5%,10% dan 15% pada pertamax menunjukan peningkatan performa mesin. Penambahan pertamax-methanol PM15 meningkatkan daya sebesar 25% pada kecepatan 1000 rpm, dan menurunkan BSFC sebesar 40% pada PM15 dengan kecepatan 2000 rpm, serta meningkatkan thermal efficiency pada PM5 sebesar 73% dengan kecepatan 2000 rp
Pemodelan Ruang Terbuka Hijau untuk Reduksi CO2 di PT. Wilmar Nabati Gresik: Pendekatan SEM-PLS
Get PDFOne of Sustainable Development Goals related to climate change is reducing greenhouse gas emissions, namely carbon dioxide (CO2) from human activities. Properly designed green open spaces impact human health and the environment. PT Wilmar Nabati Gresik is a large palm oil producer that produces emissions from the industrial sector. This study aimed to determine the value of ambient air CO2 absorption by green open spaces and its modeling at PT. Wilmar Nabati Gresik. Observations and measurements of ambient CO2 air samples were carried out every 1 hour for 24 hours in 6 days using a CO2 meter. Furthermore, the measurement results were analyzed using SEM-PLS to explore the correlation between variables and their indicators. The cumulative value of carbon dioxide (CO2) in ambient air or Net CO2 is used as an indicator of the amount of carbon dioxide reduction. The three latent variables of this study are CO2 concentration (C), plants (T) and land use (A). The indicators of this study are the minimum CO2 concentration (Cmin), maximum (Cmax), average (Cavg), percentage of tree vegetation, shrubs, grass, percentage of jetty land, office, plant and non-RTH land. The results showed the average CO2 concentration of ambient air in 6 days at PT. Wilmar Nabati Gresik was 521 ppm. Vegetation is dominated by trees and grass, and the smallest proportion of land and vegetation is plant clusters. Furthermore, a mathematical model was made for planning green open space vegetation. It was concluded that additional green open space is needed at PT. Wilmar Nabati Gresik by planting trees coverage of 2.46 ha to reduce Net CO2 to 0.
Keywords: air emissions, carbon dioxide, modelling, green open spaceSalah satu Sustainable Development Goals yang terkait dengan perubahan iklim adalah mengurangi emisi gas rumah kaca yakni karbon dioksida (CO2) yang dihasilkan oleh aktivitas manusia. Ruang terbuka hijau yang tepat desain dapat memberikan manfaat bagi kesehatan manusia dan lingkungan. PT Wilmar Nabati Gresik merupakan salah satu perusahaan besar produsen minyak kelapa sawit, yang tentunya menghasilkan emisi dari sektor industri. Tujuan penelitian adalah menetapkan nilai serapan CO2 udara ambien oleh ruang terbuka hijau dan pemodelannya di PT. Wilmar Nabati Gresik. Observasi dan pengukuran sampel udara CO2 ambien dilakukan tiap 1 jam selama 24 jam dalam 6 hari menggunakan alat CO2 meter. Selanjutnya hasil pengukuran dianalisis menggunakan SEM-PLS untuk menganalisis hubungan antar variabel beserta indikatornya. Nilai kumulatif karbon dioksida (CO2) pada udara ambien atau Net CO2 digunakan sebagai indikator besaran reduksi karbon dioksida. Tiga variabel laten penelitian ini yakni konsentrasi CO2 (C), tanaman (T) serta penggunaan lahan (A). Sedangkan indikator penelitian ini adalah konsentrasi CO2 minimal (Cmin), maksimal (Cmax), rata-rata (Cavg), persentase vegetasi pohon, perdu, rumput, persentase proporsi lahan jetty, office, plant dan lahan non RTH. Hasil penelitian menunjukkan konsentrasi rata-rata CO2 udara ambien dalam 6 hari di PT. Wilmar Nabati Gresik sebesar 521 ppm. Vegetasi yang dominan adalah pohon dan rumput, serta proporsi lahan minim tanaman adalah cluster plant. Selanjutnya, dibuat model matematis untuk perencanaan vegetasi ruang terbuka hijau. Disimpulkan bahwa dibutuhkan penambahan ruang terbuka hijau di PT. Wilmar Nabati Gresik dengan penanaman pohon seluas 2,46 ha untuk mampu menurunkan Net CO2 menjadi 0.
Kata kunci: emisi udara, karbon dioksida, pemodelan, ruang terbuka hija